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KolektorSDD

Kolektor Surface-Defect Dataset

홈페이지 · 논문 15편

The dataset is constructed from images of defective production items that were provided and annotated by Kolektor Group d.o.o.. The images were captured in a controlled industrial environment in a real-world case. The dataset consists of 399 images at 500 x ~1250 px in size. Please cite our paper published in the Journal of Intelligent Manufacturing when using this dataset: `` @article{Tabernik2019JIM, author = {Tabernik, Domen and {\v{S}}ela, Samo and Skvar{\v{c}}, Jure and Sko{\v{c}}aj, Danijel}, journal = {Journal of Intelligent Manufacturing}, title = {{Segmentation-Based Deep-Learning Approach for Surface-Defect Detection}}, year = {2019}, month = {May}, day = {15}, issn={1572-8145}, doi={10.1007/s10845-019-01476-x} } ``

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벤치마크

Unsupervised Anomaly Detection on KolektorSDD 결과 2개